tensorflow / recommenders-addonsLinks
Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.
☆629Updated 3 months ago
Alternatives and similar repositories for recommenders-addons
Users that are interested in recommenders-addons are comparing it to the libraries listed below
Sorting:
- DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foun…☆1,152Updated 11 months ago
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training☆1,040Updated 3 months ago
- a TensorFlow-based distributed training framework optimized for large-scale sparse data.☆332Updated last week
- DeepTables: Deep-learning Toolkit for Tabular data☆701Updated last year
- AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.☆546Updated 2 years ago
- Recommendation Algorithm大规模推荐算法库,包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM,DSIN,SIGN,IPREC、GRU4Rec、Yout …☆4,070Updated 9 months ago
- embedx 是基于 c++ 开发的、完全自研的分布式 embedding 训练和推理框架。它目前支持 图模型、深度排序、召回模型和图与排序、图与召回的联合训练模型等☆313Updated last year
- A flexible, high-performance framework for large-scale retrieval problems based on TensorFlow.☆169Updated 11 months ago
- An easy-to-use framework for large scale recommendation algorithms.☆316Updated this week
- A full pipeline AutoML tool for tabular data☆363Updated 8 months ago
- Read and write Tensorflow TFRecord data from Apache Spark.☆294Updated last year
- Distributed LR、 FM model on Parameter Server. FTRL and SGD Optimization Algorithm.☆224Updated 7 years ago
- Large batch training of CTR models based on DeepCTR with CowClip.☆172Updated 2 years ago
- ☆1,192Updated 6 years ago
- Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"☆446Updated 2 years ago
- TensorFlow Script☆685Updated last year
- Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.☆908Updated 4 years ago
- High performance distributed framework for training deep learning recommendation models based on PyTorch.☆411Updated 6 months ago
- 推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction☆1,021Updated last year
- A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster☆159Updated last year
- Wide and Deep Learning for CTR Prediction in tensorflow☆292Updated 4 years ago
- ☆291Updated 6 years ago
- CTR prediction model based on spark(LR, GBDT, DNN)☆921Updated 5 years ago
- CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)☆932Updated 6 years ago
- Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosop…☆673Updated 6 years ago
- ☆755Updated 6 years ago
- Implement Wide & Deep algorithm by using NumPy☆155Updated 6 years ago
- LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…☆264Updated 3 years ago
- ☆40Updated 4 years ago
- OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and infe…☆1,675Updated last week